Business Systems Engineer

About the role

Company Overview: A commodities asset manager, launched in 2019, specializes in long-only and alpha products, leveraging extensive expertise in commodity trading and index mechanics. They are seeking a Business Systems Engineer to enhance operational efficiency and streamline business processes across various functions.

Responsibilities

• Take ownership of the full solution lifecycle, including requirements gathering, architecture, implementation, deployment, monitoring, and ongoing support.
• Partner directly with business users to identify problems, gather requirements, evaluate tradeoffs, and define practical, scalable technology solutions.
• Design, develop, test, deploy, and maintain production-quality applications, services, integrations, workflows, and automation solutions.
• Develop and maintain integrations across internal systems, data platforms, reporting tools, document repositories, and approved third-party systems.
• Rapidly prototype and evaluate potential solutions, gather user feedback, and evolve successful concepts into reliable, production-ready systems.
• Maintain appropriate documentation standards and controls to ensure solutions are secure, auditable, maintainable, and aligned with business requirements.
• Evaluate emerging technologies, automation frameworks, and AI capabilities to improve business processes and operational efficiency.

Qualifications

• At least five years of experience designing, building, and supporting software systems, workflow automation solutions, and internal technology platforms.
• Bachelor’s or Master’s degree in computer science, engineering, data science, mathematics, statistics, economics, finance, or another quantitative or technical field.
• Strong practical programming and development skills in Python and SQL, with experience using modern data, application development, and automation frameworks.
• Experience designing, building, and supporting production applications, APIs, databases, integrations, and data-driven systems.
• Strong understanding of modern software engineering practices, including testing, version control, code review, CI/CD, documentation, deployment, monitoring, and operational support.
• Working knowledge of APIs, cloud services, authentication, authorization, and secure software design.
• Familiarity with AI-enabled technologies, including large language models, AI APIs, retrieval techniques, and workflow automation frameworks.

Pay

Compensation: Salary: $175,000 – $250,000, Plus Bonus